15/06, 2021
Points already planned to be sampled

Objective
- Find the points furthest away environmentally from the current points
- Find the most stable, more increase and more decrease of species Richness
- Candidate points extracted from Novana dataset
- 46,648 Candidate points

Environmental distance
Methods
- Furthest points in environmental space
- Mean anual temperature
- Temperature seasonality
- Annual precipitation
- Precipitation seasonality
- Topographic wetness index
- Vegetation density
- pH Surface
- pH deep
- Bin of canopy height (<1,1-3, 3-10, >10)
- Soil texture (Clay, Sand, Silt)
- Heat load index
- Slope
Map of selected points

NMDS of selected points

First 50 points

Environmental space

Selection by species richness change
Method
- From Novana dataset select the point with at least 4 years of sampling
- Make a linear regression between Richness (Only positive species), and year
- If slope is non significative the sampling point is considered to be stable
- Select the 34 lowest absolute value slope
- If slope is significative and positive the sampling point is considered to be of increasing richness
- Select the 34 highest slope value
- If slope is significative and negative the sampling point is considered to be of decreasing richness
- Select the 34 lowest slope value
Selected points

Selected points (map)

Final map